Google launches new Data Lakehouse Engine — Big Lake
How it’s great News for all Google Cloud Platform Users
Google is bringing out new guns to support companies even better in the creation of data platforms. With BigQuery, customers already have a wonderful easy-to-use SaaS Data Warehouse and, with various cloud storage options, the possibility to build the matching Data Lake. The two interacting in a Data Lakehouse is not new — but with BigLake it is now gaining momentum.
I had already addressed the topic in this article and provided a small tutorial — here also the official statement by Google:
Built on years of investment in BigQuery, BigLake is a storage engine that allows organizations to unify data warehouses and lakes, and enable them to perform uniform fine-grained access control, and accelerate query performance across multi-cloud storage and open formats. — Google [1]
Google Big Lake or BigLake to be correct is designed to allow companies to unify their Data Warehouses and Data Lakes without having to worry about the underlying storage format or system. You can easily access Google internal storage as well as cross-platform data such as Microsoft Azure or AWS within BigQuery using SQL, without having to cache it. It’s a big benefit that you don’t have to duplicate your data in two…
